R2jags: Using R to Run 'JAGS'
Providing wrapper functions to implement Bayesian analysis in JAGS. Some major features include monitoring convergence of a MCMC model using Rubin and Gelman Rhat statistics, automatically running a MCMC model till it converges, and implementing parallel processing of a MCMC model for multiple chains.
Version: |
0.7-1 |
Depends: |
R (≥ 2.14.0), rjags (≥ 3-3) |
Imports: |
abind, coda (≥ 0.13), graphics, grDevices, methods, R2WinBUGS, parallel, stats, utils |
Suggests: |
testthat (≥ 3.0.0) |
Published: |
2021-08-05 |
Author: |
Yu-Sung Su,
Masanao Yajima, |
Maintainer: |
Yu-Sung Su <suyusung at tsinghua.edu.cn> |
BugReports: |
https://github.com/suyusung/R2jags/issues/ |
License: |
GPL (> 2) |
NeedsCompilation: |
no |
SystemRequirements: |
JAGS (http://mcmc-jags.sourceforge.net) |
Materials: |
ChangeLog |
In views: |
Bayesian |
CRAN checks: |
R2jags results |
Documentation:
Downloads:
Reverse dependencies:
Reverse depends: |
bmeta, CCTpack, eivtools, hbbr, HETOP, IUPS, miscF, simmr |
Reverse imports: |
afthd, agRee, bamdit, BayesOrdDesign, bhmbasket, boral, BTSPAS, HiLDA, IIVpredictor, isoWater, jarbes, longit, MBNMAdose, MBNMAtime, MIIPW, missingHE, MixSIAR, SeqFeatR, SurviMChd |
Reverse suggests: |
AICcmodavg, BCEA, bridgesampling, broom.mixed, emdbook, ftsa, gap, LakeMetabolizer, rFIA |
Linking:
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